Dontopedia

Forward

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

Forward has 12 facts recorded in Dontopedia across 2 references, with 5 live disagreements.

12 facts·6 predicates·2 sources·5 in dispute

Mostly:has parameter(3), applies activation(2), calls(2)

Maturity scale raw canonical shape-checked rule-derived certified

Other facts (12)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

12 facts
PredicateValueRef
Has ParameterX[1]
Has Parameterself[2]
Has Parameterx[2]
Applies ActivationRelu[1]
Applies Activationtorch.relu[2]
CallsFc1[1]
CallsFc2[1]
ReturnsX[1]
Returnsx[2]
Calls Layerfc1[2]
Calls Layerfc2[2]
Executes Sequential OperationsOperation Sequence[1]

Timeline

Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.

hasParameterbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:x
appliesActivationbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:relu
callsbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:fc1
callsbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:fc2
returnsbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:x
executesSequentialOperationsbeam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
ex:operation-sequence
hasParameterbeam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
self
hasParameterbeam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
x
appliesActivationbeam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
torch.relu
callsLayerbeam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
fc1
callsLayerbeam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
fc2
returnsbeam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
x

References (2)

2 references
  1. ctx:claims/beam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
    • full textbeam-chunk
      text/plain1 KBdoc:beam/b2084fb4-c6e7-4f68-a30b-1fed653d4d63
      Show excerpt
      # Define the resizing module class ResizingModule(nn.Module): def __init__(self): super(ResizingModule, self).__init__() self.fc1 = nn.Linear(512, 128) self.fc2 = nn.Linear(128, 128) def forward(self, x):
  2. ctx:claims/beam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/3273ae1c-32c6-4028-9a0a-b07bb3d1326a
      Show excerpt
      level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s', handlers=[ logging.FileHandler("debug_training.log"), logging.StreamHandler() ] ) # Define a custom dataset class for our queries class

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